Three-party member information matching system and method based on intelligent algorithm

Abstract

The invention relates to the technical field of internet recruitment, and discloses a three-party member information matching system and method based on an intelligent algorithm, and the system comprises a central processing unit, an information database, an intelligent matching engine, a user interface module, and a security module. The central processing unit is used for receiving and processing registration information, position information and training information from three-party members, the central processing unit comprises a central processing unit and a memory unit, the central processing unit, an information database, an intelligent matching engine, a user interface module and a safety module are integrated, and the information of the three-party members is integrated. The intelligent algorithm is used for efficient matching, the resource utilization efficiency is improved, the cooperative work efficiency is enhanced, the operation process is simplified through unified background management, three-party resources can be effectively integrated, the matching efficiency is improved, the recruitment and training process is optimized, and finally the win-win situation of three-party members is achieved. And more convenient and efficient service experience is provided for the user.

Description

Technical Field

[0001] The present invention relates to the field of Internet recruitment technology, and in particular to a tripartite member information matching system and method based on an intelligent algorithm. Background Art

[0002] Online recruitment relies on this feature of the Internet to achieve results that traditional recruitment methods cannot achieve. Currently, most recruitment platforms only focus on two-way docking between companies and job seekers, and their functions are relatively simple. In order to better integrate resources, recruitment platforms have introduced third parties, such as training institutions, human resources service companies, etc.

[0003] However, the existing technology is relatively backward. The personal end, enterprise end and other ends are not managed in the same background. Some even require different clients or apps to manage them. Even if there are corresponding switching ports, it is only a conversion of the identities of both parties, which is not convenient and fast. It lacks complete functions specifically for third-party members, resulting in insufficient resource utilization and low coordination efficiency during the operation process.

[0004] To this end, we propose a tripartite member information matching system and method based on intelligent algorithms. Summary of the invention

[0005] The present invention mainly solves the technical problems existing in the above-mentioned prior art and provides a tripartite member information matching system and method based on intelligent algorithm.

[0006] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: a tripartite member information matching system based on an intelligent algorithm, including a central processing unit, an information database, an intelligent matching engine, a user interface module and a security module. The central processing unit is used to receive and process registration information, position information and training information from tripartite members. The central processing unit includes a central processing unit and a memory unit, which are used to execute the algorithm of the intelligent matching engine and manage the operation of the entire system.

[0007] Preferably, the information database is used to store detailed information of tripartite members, detailed requirements of recruitment positions released by enterprises, including skills, experience and education, personal resume information filled in by job seekers, and training courses and service content released by third parties.

[0008] Preferably, the intelligent matching engine is used to analyze the needs and resources of tripartite members and automatically match and recommend information.

[0009] Preferably, the user interface module allows third-party members to input and update personal information, view matching results, and perform interactive operations. The user interface module includes an enterprise recruitment information module, a job seeker resume information module, a third-party member training service information module, a third-party communication module, a project cooperation module, an information sharing and matching module, and a collaborative interaction module.

[0010] Preferably, the security module ensures the security and privacy of the tripartite member information and prevents unauthorized access and data leakage. The security module includes a firewall, an encryption module, an access control module and a data backup module.

[0011] Preferably, the enterprise recruitment information module is responsible for collecting and organizing the recruitment information released by the enterprise.

[0012] Preferably, the job seeker resume information module is used to collect and organize the job seeker's personal resume information.

[0013] Preferably, the third-party member training service information module is responsible for collecting and organizing the training courses and service contents provided by the third party.

[0014] Preferably, the three-party communication module is used to provide a platform for effective communication and exchange between enterprises, job seekers and third parties.

[0015] Preferably, the project cooperation module is used to manage cooperation projects between the three parties, including the release, update and tracking of project information.

[0016] Preferably, the information sharing and matching module is responsible for sharing information among the three-party members and matching the information according to the analysis results of the intelligent matching engine.

[0017] Preferably, the collaborative interaction module is used to support collaborative work among the tripartite members, including task allocation, progress tracking and result feedback.

[0018] The tripartite member information matching method based on intelligent algorithm includes the tripartite member information matching system based on intelligent algorithm, and specifically includes the following steps:

[0019] Step 1: Collecting information of third-party members: The system receives registration information from enterprises, job seekers and third-party training institutions through the central processing unit. Enterprises need to provide detailed recruitment requirements, including but not limited to job descriptions, skill requirements, educational background and work experience. Job seekers need to fill out personal resumes, including educational background, work experience, skill expertise and personal intentions. Third-party training institutions need to provide detailed information on training courses and service content so that the system can fully understand the specific needs and resources of third-party members;

[0020] Step 2: Information storage and management: The collected tripartite member information will be stored in the information database, which is managed by the central processing unit. The database will classify and index the information according to certain rules to ensure fast retrieval and efficient management of information. In addition, the information database is also responsible for regularly updating member information to ensure the timeliness and accuracy of the information;

[0021] Step 3: Intelligent matching and recommendation: The intelligent matching engine uses advanced algorithms to analyze and process the collected information of third-party members. The system will match the job seeker's resume information with the company's job requirements, while considering the training courses and service content provided by third-party training institutions, and provide personalized recommendations for third-party members. The matching results will be displayed to third-party members through the user interface module so that they can quickly find the information that best suits them.

[0022] Step 4: Interaction and feedback: The user interface module provides an interactive platform for the tripartite members, through which they can input and update personal information, view matching results, and conduct further communication and exchanges. The tripartite communication module supports effective communication between enterprises, job seekers, and third parties. The project cooperation module is responsible for managing the cooperation projects between the three parties, including the release, update, and tracking of project information. The information sharing and matching module and the collaborative interaction module are responsible for information sharing and matching, as well as supporting collaborative work between the tripartite members, to ensure the smoothness and efficiency of the entire matching process.

[0023] Step 5: Security and privacy protection: The security module is responsible for protecting the security and privacy of tripartite member information. This module includes firewall, encryption module, access control module and data backup module to ensure that member information is not accessed or leaked without authorization. Through these security measures, the system can provide a safe and reliable matching environment for tripartite members.

[0024] The present invention provides a tripartite member information matching system and method based on intelligent algorithm.

[0025] Beneficial effects:

[0026] 1. The tripartite member information matching system and method based on intelligent algorithms integrates a central processing unit, an information database, an intelligent matching engine, a user interface module and a security module. By integrating the tripartite member information and using intelligent algorithms for efficient matching, it not only improves the efficiency of resource utilization, but also enhances the efficiency of collaborative work. Through unified background management, it simplifies the operation process, can effectively integrate tripartite resources, improve matching efficiency, optimize the recruitment and training process, and ultimately achieve a win-win situation for tripartite members, providing users with a more convenient and efficient service experience.

[0027] 2. This three-party member information matching system and method based on intelligent algorithms achieves seamless connection between enterprises, job seekers and third-party training institutions by providing a comprehensive three-party member information management platform. The system can not only process and match a large amount of registration information, job information and training information, but also dynamically adjust the matching strategy according to the real-time feedback of members and market changes to ensure the accuracy and timeliness of the recommendation results.

[0028] 3. The tripartite member information matching system and method based on intelligent algorithms can deeply explore the needs and preferences of tripartite members by introducing advanced data processing and analysis technologies, thereby providing more personalized and accurate services. For example, the intelligent matching engine can recommend the most suitable training courses for job seekers based on their skills, expertise and career plans, and recommend the most suitable job seekers to enterprises, thereby achieving accurate matching of talents and positions.

[0029] 4. The tripartite member information matching system and method based on intelligent algorithms ensures the security and privacy of member information by strengthening the functions of the security module. The system adopts multi-level security protection measures, including but not limited to data encryption, access control and regular backup, which effectively prevents data leakage and illegal access, and provides a safe and reliable usage environment for tripartite members.

[0030] 5. The tripartite member information matching system and method based on intelligent algorithms improves the user experience by optimizing the design of the user interface module. The system interface is concise and intuitive, and the operation process is simple. Members can easily input, update and view information. At the same time, the system also provides instant messaging and feedback mechanisms, making communication between tripartite members more efficient and convenient. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a system module diagram of the present invention;

[0032] Figure 2 Flow chart of the method of the present invention

[0033] Figure 3 A schematic diagram of a tripartite member transaction of the present invention;

[0034] Figure 4 A schematic diagram of a company or intermediary interview for an individual of the present invention;

[0035] Figure 5 A schematic diagram of selecting job seekers or mediating interviews for the enterprise of the present invention;

[0036] Figure 6 It is a schematic diagram of the intermediary selection company or job seeker interview of the present invention. DETAILED DESCRIPTION

[0037] In order to more clearly illustrate the implementation methods of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for the implementation methods or the description of the prior art. Obviously, the drawings described below are only exemplary, and for ordinary technicians in this field, other implementation drawings can be derived from the provided drawings without creative work.

[0038] The structures, proportions, sizes, etc. illustrated in this specification are only used to match the contents disclosed in the specification so as to facilitate understanding and reading by persons familiar with the technology. They are not used to limit the conditions under which the present invention can be implemented, and therefore have no substantial technical significance. Any structural modification, change in proportion or adjustment of size shall still fall within the scope of the technical contents disclosed in the present invention without affecting the effects and purposes that can be achieved by the present invention.

[0039] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0040] In the description of the embodiments of the present invention, it should be noted that the terms "center", "upper", "lower", "inner", "outer", "side", etc. indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, or the orientation or positional relationship in which the invented product is usually placed when in use, which is only for the convenience of describing the present invention and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", etc. are only used to distinguish the description, and cannot be understood as indicating or implying relative importance.

[0041] In the description of the embodiments of the present invention, it is also necessary to explain that, unless otherwise clearly specified and limited, the terms "set", "install", "connect", and "connect" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the embodiments of the present invention can be understood according to specific circumstances.

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] Embodiment 1: A tripartite member information matching system based on an intelligent algorithm, such as Figure 1 As shown, it includes a central processing unit, an information database, an intelligent matching engine, a user interface module and a security module. The central processing unit is used to receive and process registration information, position information and training information from third-party members. The central processing unit includes a central processor and a memory unit, which are used to execute the algorithm of the intelligent matching engine and manage the operation of the entire system. The information database is used to store detailed information of third-party members, detailed requirements of recruitment positions released by enterprises, including skills, experience and education, job seekers fill in personal resume information, and third parties publish training courses and service content. By integrating the central processing unit, information database, intelligent matching engine, user interface module and security module, by integrating the information of third-party members and using intelligent algorithms for efficient matching, it not only improves the efficiency of resource utilization, but also enhances the efficiency of collaborative work. Through unified background management, the operation process is simplified, and the resources of the three parties can be effectively integrated, the matching efficiency can be improved, the recruitment and training process can be optimized, and finally a win-win situation for the three-party members can be achieved, providing users with a more convenient and efficient service experience.

[0044] Embodiment 2: Based on Embodiment 1, Figure 1 As shown, the intelligent matching engine is used to analyze the needs and resources of third-party members and automatically match and recommend information. The user interface module allows third-party members to input and update personal information, view matching results, and perform interactive operations. The user interface module includes enterprise recruitment information module, job seeker resume information module, third-party member training service information module, third-party communication module, project cooperation module, information sharing and matching module, and collaborative interaction module. By providing a comprehensive third-party member information management platform, seamless connection between enterprises, job seekers, and third-party training institutions is achieved. The system can not only process and match a large amount of registration information, job information, and training information, but also dynamically adjust matching strategies based on real-time feedback from members and market changes to ensure the accuracy and timeliness of recommendation results.

[0045] Embodiment 3: Based on Embodiment 1 and Embodiment 2, Figure 1As shown in the figure, the security module ensures the security and privacy of the third-party member information and prevents unauthorized access and data leakage. The security module includes firewall, encryption module, access control module and data backup module. The enterprise recruitment information module is responsible for collecting and organizing the recruitment information released by the enterprise. The job seeker resume information module is used to collect and organize the job seeker's personal resume information. The third-party member training service information module is responsible for collecting and organizing the training courses and service content provided by the third party. By introducing advanced data processing and analysis technology, it is possible to deeply explore the needs and preferences of the third-party members, so as to provide more personalized and accurate services. For example, the intelligent matching engine can recommend the most suitable training courses for the job seeker's development based on his or her skills, expertise and career planning, and recommend the most suitable job seekers to the enterprise, so as to achieve accurate matching of talents and positions.

[0046] Embodiment 4: Based on Embodiment 1, Embodiment 2 and Embodiment 3, Figure 1 As shown, the three-party communication module is used to provide a platform for effective communication and exchange between enterprises, job seekers and third parties. The project cooperation module is used to manage the cooperation projects between the three parties, including the release, update and tracking of project information. The information sharing and matching module is responsible for sharing information between the three-party members and matching information based on the analysis results of the intelligent matching engine. The collaborative interaction module is used to support the collaborative work between the three-party members, including task allocation, progress tracking and result feedback. By strengthening the functions of the security module, the security and privacy of member information are ensured. The system adopts multi-level security protection measures, including but not limited to data encryption, access control and regular backup, which effectively prevents data leakage and illegal access, and provides a safe and reliable use environment for the three-party members.

[0047] Embodiment 5: Based on Embodiment 1, Embodiment 2, Embodiment 3 and Embodiment 4, Figure 2As shown, the tripartite member information matching method based on intelligent algorithm includes the above-mentioned tripartite member information matching system based on intelligent algorithm, which specifically includes the following steps: Step 1: Collect tripartite member information: The system receives registration information from enterprises, job seekers and third-party training institutions through the central processing unit. Enterprises need to provide detailed recruitment requirements, including but not limited to job descriptions, skill requirements, educational background and work experience. Job seekers need to fill in personal resumes, including educational background, work experience, skill expertise and personal intentions. Third-party training institutions need to provide detailed information on training courses and service content so that the system can fully understand the specific needs and resources of tripartite members; Step 2: Information storage and management: The collected tripartite member information will be stored in the information database, which is managed by the central processing unit. The database will classify and index the information according to certain rules to ensure rapid retrieval and efficient management of information. In addition, the information database is also responsible for regularly updating member information to ensure the timeliness and accuracy of information; Step 3: Intelligent matching and recommendation: The intelligent matching engine uses advanced algorithms to analyze and process the information based on the collected tripartite member information. The system will The system matches the job requirements of the industry with the resume information of the job seeker, and considers the training courses and service content provided by the third-party training institutions to provide personalized recommendations for the three-party members. The matching results will be displayed to the three-party members through the user interface module so that they can quickly find the information that best suits them. Step 4: Interaction and feedback: The user interface module provides an interactive platform for the three-party members, through which members can enter and update personal information, view matching results, and conduct further communication and exchanges. The three-party communication module supports effective communication between enterprises, job seekers and third parties. The project cooperation module is responsible for managing the cooperation projects between the three parties, including the release, update and tracking of project information. The information sharing and matching module and the collaborative interaction module are responsible for information sharing and matching, as well as supporting the collaborative work between the three-party members, ensuring the smoothness and efficiency of the entire matching process. Step 5: Security and privacy protection: The security module is responsible for protecting the security and privacy of the three-party members' information. The module includes firewalls, encryption modules, access control modules and data backup modules to ensure that member information is not accessed and leaked without authorization. Through these security measures, the system can provide a safe and reliable matching environment for the three-party members. By optimizing the design of the user interface module, the user experience is improved. The system interface is concise and intuitive, and the operation process is simple. Members can easily input, update and view information. At the same time, the system also provides instant messaging and feedback mechanisms, making communication between tripartite members more efficient and convenient.

[0048] Embodiment 6: Based on Embodiment 1, Embodiment 2, Embodiment 3, Embodiment 4 and Embodiment 5, Figure 3-Figure 6As shown, the individuals, enterprises and intermediaries among the three-party members hold escrow accounts, the entire system guarantees transactions, and both parties confirm the guarantee information and guarantee period, and then conduct automatic transactions. When an individual chooses a company in the escrow state, he can view the company profile for free, and then participate in the interview if he is satisfied. After the interview is successful, he will start working, and finally pay the commission automatically. When an individual does not choose a company in the escrow state, he can view the company profile for free. After satisfaction, he needs to pay the commission before continuing with the subsequent operations. When an individual does not choose a company in the escrow state, he can view the company profile for free, and if he is not satisfied, he can exit directly; when an individual chooses an intermediary in the escrow state, he can view the intermediary profile for free, and then participate in the interview if he is satisfied, and start working after the interview is successful, and finally Automatically pay the commission. When an individual does not select an intermediary in a managed state, he or she can view the intermediary profile for free. If satisfied, he or she needs to pay the commission before continuing with the subsequent operations. When an individual does not select an intermediary in a managed state, he or she can view the company profile for free. If dissatisfied, he or she can exit directly. When an enterprise selects a job seeker in a managed state, he or she can view the job seeker profile for free. If satisfied, he or she can then invite the job seeker for an interview. After a successful interview, the job seeker will be hired and the commission will be automatically paid. When an enterprise does not select a job seeker in a managed state, he or she can view the job seeker profile for free. If satisfied, he or she needs to pay the commission before continuing with the subsequent operations. When an enterprise does not select a job seeker in a managed state, he or she can view the job seeker profile for free. If dissatisfied, he or she can exit directly. The enterprise does not select a job seeker in a managed state When the company selects an intermediary in a managed state, it can directly send a red envelope to the job seeker. When the company selects an intermediary in a managed state, it can view the intermediary's profile for free, and then invite the interview if it is satisfied. The intermediary will start work after the interview is successful, and the commission will be automatically paid at the end. When the company does not select an intermediary in a managed state, it can view the intermediary's profile for free, and then pay the commission before continuing with the subsequent operations if it is satisfied. When the company does not select an intermediary in a managed state, it can view the intermediary's profile for free, and exit directly if it is not satisfied. When the company does not select an intermediary in a managed state, it can directly send a red envelope to the intermediary; when the intermediary selects a job seeker in a managed state, it can view the job seeker's profile for free, and then invite the interview if it is satisfied. The job seeker will start work after the interview is successful, and the commission will be automatically paid at the end. The intermediary is not in a managed state When the intermediary is selected in the managed state, the job seeker's profile can be viewed for free. If you are satisfied, you need to pay the commission before you can proceed with the follow-up operations. When the intermediary does not select the job seeker in the managed state, the job seeker's profile can be viewed for free. If you are not satisfied, you can exit directly. When the intermediary does not select the job seeker in the managed state, the job seeker can be directly sent a red envelope to the job seeker. When the intermediary selects a company in the managed state, the company profile can be viewed for free. If you are satisfied, you can then participate in the interview. After a successful interview, the intermediary will join the company and automatically pay the commission. When the intermediary does not select a company in the managed state, the company profile can be viewed for free. If you are satisfied, you need to pay the commission before you can proceed with the follow-up operations. When the intermediary does not select a company in the managed state, the company profile can be viewed for free. If you are not satisfied, you can exit directly.

[0049] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A tripartite member information matching system based on intelligent algorithms, characterized by: It includes a central processing unit, an information database, an intelligent matching engine, a user interface module and a security module. The central processing unit is used to receive and process registration information, position information and training information from tripartite members. The central processing unit includes a central processing unit and a memory unit.

2. The intelligent algorithm-based tripartite member information matching system according to claim 1, characterized in that: The information database is used to store detailed information of tripartite members, detailed requirements of recruitment positions released by enterprises, including skills, experience and education, personal resume information filled in by job seekers, and training courses and service content released by third parties.

3. The intelligent algorithm-based tripartite member information matching system according to claim 1 is characterized in that: The user interface modules include enterprise recruitment information module, job seeker resume information module, third-party member training service information module, three-party communication module, project cooperation module, information sharing and matching module and collaborative interaction module.

4. The intelligent algorithm-based tripartite member information matching system according to claim 1, characterized in that: The security module includes a firewall, an encryption module, an access control module and a data backup module.

5. A tripartite member information matching method based on an intelligent algorithm, characterized in that: The intelligent algorithm-based tripartite member information matching system comprising any one of claims 1 to 4 specifically comprises the following steps: Step 1: Collecting information of third-party members: The system receives registration information from enterprises, job seekers and third-party training institutions through the central processing unit. Enterprises need to provide detailed recruitment requirements, including but not limited to job descriptions, skill requirements, educational background and work experience. Job seekers need to fill out personal resumes, including educational background, work experience, skill expertise and personal intentions. Third-party training institutions need to provide detailed information on training courses and service content so that the system can fully understand the specific needs and resources of third-party members; Step 2: Information storage and management: The collected tripartite member information will be stored in the information database, which is managed by the central processing unit. The database will classify and index the information according to certain rules to ensure fast retrieval and efficient management of information. In addition, the information database is also responsible for regularly updating member information to ensure the timeliness and accuracy of the information; Step 3: Intelligent matching and recommendation: The intelligent matching engine uses advanced algorithms to analyze and process the collected information of third-party members. The system will match the job seeker's resume information with the company's job requirements, while considering the training courses and service content provided by third-party training institutions, and provide personalized recommendations for third-party members. The matching results will be displayed to third-party members through the user interface module so that they can quickly find the information that best suits them. Step 4: Interaction and feedback: The user interface module provides an interactive platform for the tripartite members, through which they can input and update personal information, view matching results, and conduct further communication and exchanges. The tripartite communication module supports effective communication between enterprises, job seekers, and third parties. The project cooperation module is responsible for managing the cooperation projects between the three parties, including the release, update, and tracking of project information. The information sharing and matching module and the collaborative interaction module are responsible for information sharing and matching, as well as supporting collaborative work between the tripartite members, to ensure the smoothness and efficiency of the entire matching process. Step 5: Security and privacy protection: The security module is responsible for protecting the security and privacy of tripartite member information. This module includes firewall, encryption module, access control module and data backup module to ensure that member information is not accessed or leaked without authorization. Through these security measures, the system can provide a safe and reliable matching environment for tripartite members.

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